Active appearance model: Difference between revisions

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Revision as of 22:26, 7 September 2006

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An '''Active Appearance Model''' (AAM) is a [[Computer Vision]] algorithm for matching a [[statistical model]] of object shape and apperance to a new image. They are built during a training phase. A set of images ogether with coordinates of landmarks, that appear in all of the images is provided by the training supervisor.

The approach is widely used for matching and tracking faces and for [[Medical Image Interpretation]].

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[[de:Active Appearance Model]]

== Some reading ==

* T. F. Cootes, G. J. Edwards, and C. J. Taylor. Active appearance models. ''IEEE TPAMI, 23(6):681–685, 2001''

* T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham. Training models of shape from sets of examples. ''In Procceedings of BMVC’92, pages 266–275, 1992''

* S. C. Mitchell, J. G. Bosch, B. P. F. Lelieveldt, R. J. van der Geest, J. H. C. Reiber, and M. Sonka. 3-d active appearance models: Segmentation of cardiac MR and ultrasound images. ''IEEE Trans. Med. Imaging, 21(9):1167–1178, 2002''